Whether you are a small company trying to run daily reports from your cloud silos or a large manufacturing organization implementing industry 4.0, HarperDB offers a platform that provides simple data workflows that help grow your business.
Implementations are fast with common interfaces and built in data synchronization. Deliver critical data into the hands of your people where and when it’s needed. Consult with a HarperDB solution architect or one of our partners to find out how we build data workflows for your application.
Edge to Cloud Workflows
HarperDB delivers the same, seamless, enterprise-grade feature set on small footprint edge devices as it does for cloud-based big data applications. By delivering a uniform application infrastructure, we simplify the configuration, and speed deployment times for workflows that require bi-directional data synchronization.
Data can be collected on the edge, processed, and aggregated into a private or public cloud data store automatically without the need for complex and expensive middleware or custom code. Alternatively, cloud data can be synchronized locally to support business intelligence or analytics applications.
By seamlessly synchronizing your data between local data stores and the cloud, HarperDB enables cost effective workflows to help your business grow.
Having appropriate data access is critical to making smart business decisions, but with data coming from countless different sources, it becomes difficult to where that data resides. Data scientists spend the bulk of their time attempting to gather data, sometimes to no avail. Instead, with proper data orchestration, data scientists and analysts can focus their time on building algorithms and yielding critical results.
Data naturally resides in silos, a common concern and frustration for analytics teams. To gain proper insights, data is gathered from these various silos and locations through custom ETL processes and other complicated solutions. Then, whenever something changes in a single application, be it architecture, data structure, or anything in between, the whole process must be rebuilt.
HarperDB makes data orchestration performant and easy.
HarperDB was designed to have a very small footprint around 100 MB and can run stateless. This allows the application to run on any device with an operating system.
As a true distributed data platform, any node can share data with other nodes including on premise servers and cloud instances. These capabilities combine to deliver a robust platform for edge computing. Use distributed workloads right where the data is needed to make intelligent and real-time decisions when they matter.
The Edge can be a challenging place to extract value from your data, but HarperDB is focused on helping you deliver that value quickly and easily.
Atomic Data Warehouse
One of the key differentiators of the HarperDB application is how data is stored atomically. In most databases and data management platforms, a string of data from a system or device is stored as a complete row of information. Managing the individual fields can be a challenge when attempting to index or secure these fields independently.
HarperDB manages each field atomically to provide unprecedented flexibility with your data. You can define unique security roles for independent fields without copying the data to additional systems. Atomic data warehousing allows organizations to store their data one time and build granular security polices. As each field is defined atomically, they are also indexed at a granular level which allows for fast queries as soon as the data is ingested into the system. No need for multi mode databases or expensive indexes.
HarperDB’s storage algorithm eliminates the gap between the theoretical best way to store your data and the most performant way to store your data. Which makes your data warehouse more scalable, faster, and less expensive to maintain over time.
Engineers and operators are not the only people in your company that can benefit from instant access to operational/industrial datasets. In today’s sensor rich environment, OT data can be used for a wide variety of business applications including production forecasting, supply chain optimization and predictive maintenance.
Install HarperDB close to your OT data streams, place nodes alongside your critical business systems and connect your employees to create real time, personalized data stores that are aggregated to support reporting and analytics.
Today’s IoT deployments are challenged to operate at high speeds, and with fewer resources. They generate large volumes of data on a continuous basis, that must be ingested, and processed with high throughput to deliver actionable insights instantly.
With HarperDB you can report on high volume sensor data in real-time at scale.